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Product lifecycle management (PLM) has become more important in companies providing technologies and methodologies to manage data, information, and knowledge along the whole product lifecycle. In recent years, several authors have argued about PLM using a managerial or a technological view. The paper analyses these studies and integrates different author's points of view using focus groups, blogs, and face-to-face meetings in a university community of practice. Three sets of features (i.e., managerial, technological, and collaborative ones) have been used to review the existing definitions shared between academic and industrial ones and to propose an extended PLM definition describing its key concepts. The paper is a useful reference for managers and academics who want to have a clear and critical understanding of PLM using a unique source to collect lines of evidence on several PLM definitions, features, and concepts.

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Currently, the process mining aims at an automatic extraction of process knowledge from the event logs recorded by information systems, and, therefore, by using these techniques, it becomes possible to grasp the complex nature of industrial processes. In fact, most of the industrial processes change over time, and through the process mining techniques, it is possible to analyse these processes as if they were in a steady state. Starting to this concept, in this paper, we provide a systematic literature review that analyses the applications of process mining techniques in relation to the industrial context in order to highlight the importance of these new techniques in this scenario. To do the systematic literature review, we use the Tranfield approach (2003), and we identify the most interesting papers in the sector under analysis. After that, an in‐depth analysis of the selected papers was carried out.

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